{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 导入包\n",
    "import pandas as pd\n",
    "import torch\n",
    "from torch import nn\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "from torch.utils.data import DataLoader,Dataset, TensorDataset\n",
    "\n",
    "# 读取数据\n",
    "data = pd.read_csv('suning.csv', encoding = 'gbk')\n",
    "# 删除空值的行\n",
    "data = data.drop(data[data['涨跌额'].str.contains('None')].index)\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 把数据设置成统一的float数据类型\n",
    "data[\"涨跌额\"] = data['涨跌额'].astype(\"float\")\n",
    "data[\"最高价\"] = data['最高价'].astype(\"float\")\n",
    "data[\"最高价\"] = data['最高价'].astype(\"float\")\n",
    "data[\"开盘价\"] = data['开盘价'].astype(\"float\")\n",
    "data[\"涨跌幅\"] = data['涨跌幅'].astype(\"float\")\n",
    "data[\"换手率\"] = data['换手率'].astype(\"float\")\n",
    "\n",
    "\n",
    "# 导入数据和预测值\n",
    "datas = data[data.columns[4:7]].values\n",
    "labels = data[data.columns[3]].values\n",
    "\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "rnn(\n",
      "  (rnn): RNN(1, 2, num_layers=2)\n",
      "  (linear): Linear(in_features=3, out_features=10, bias=True)\n",
      "  (linear1): Linear(in_features=10, out_features=8, bias=True)\n",
      "  (linear3): Linear(in_features=8, out_features=2, bias=True)\n",
      "  (linear4): Linear(in_features=2, out_features=1, bias=True)\n",
      ")\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "D:\\Anaconda\\lib\\site-packages\\torch\\nn\\modules\\loss.py:432: UserWarning: Using a target size (torch.Size([692])) that is different to the input size (torch.Size([692, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size.\n",
      "  return F.mse_loss(input, target, reduction=self.reduction)\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x20b97d7b2c8>]"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 将数据导入 torch的数据集数据类型\n",
    "dataset = TensorDataset(torch.tensor(np.array(datas.reshape(-1, 3))[3000:]), torch.tensor(np.array(labels))[3000:])\n",
    "# 将dataset导入dataloader（来进行批训练）\n",
    "dataloader = DataLoader(dataset, batch_size=len(dataset),shuffle=True, drop_last=False)\n",
    "\n",
    "\n",
    "\n",
    "class rnn(nn.Module):\n",
    "    def __init__(self):#面向对象中的继承\n",
    "        super(rnn, self).__init__()\n",
    "    \n",
    "        # rnn 网络层\n",
    "        self.rnn = nn.RNN(1, 2,2)\n",
    "        # 全连接层\n",
    "        self.linear = nn.Linear(3, 10)\n",
    "        self.linear1 = nn.Linear(10,8)\n",
    "        self.linear3 = nn.Linear(8,2)\n",
    "        self.linear4 = nn.Linear(2,1)\n",
    "\n",
    "    \n",
    "    def forward(self,x):\n",
    "        x1,_ = self.rnn(x.reshape(-1 ,3,1))\n",
    "        a,b,c = x1.shape\n",
    "        out = self.linear4(x1.view(-1,c))#因为线性层输入的是个二维数据，所以此处应该将lstm输出的三维数据x1调整成二维数据，最后的特征维度不能变\n",
    "        out1 = out.view(a,b,-1)#因为是循环神经网络，最后的时候要把二维的out调整成三维数据，下一次循环使用\n",
    "        # 全连接层\n",
    "        out = self.linear(x)\n",
    "        out = self.linear1(out)\n",
    "        out = self.linear3(out)\n",
    "        out = self.linear4(out)\n",
    "\n",
    "        \n",
    "        \n",
    "        return out\n",
    "\n",
    "# 构建模型\n",
    "rnn = rnn()\n",
    "print(rnn)\n",
    "\n",
    "# 设定优化器和误差函数\n",
    "optimizer = torch.optim.Adam(rnn.parameters(), lr=0.02)   # optimize all cnn parameters\n",
    "loss_func = nn.MSELoss()\n",
    "\n",
    "\n",
    "# 一共运行20轮\n",
    "for epoch in range(20):\n",
    "    # 从dataloader读取数据\n",
    "    for step,(b_x, b_y) in enumerate(dataloader):\n",
    "\n",
    "\n",
    "        prediction = rnn(b_x.float())   # rnn的输出\n",
    "\n",
    "        loss = loss_func(prediction, b_y.float())         # 计算误差\n",
    "        #print(loss.data.numpy())\n",
    "        optimizer.zero_grad()                   # 梯度清0\n",
    "        loss.backward()                         # 误差反向传播\n",
    "        optimizer.step()                        # 误差更新\n",
    "\n",
    "# 画图\n",
    "plt.plot(rnn(b_x.float()).view(-1).data.numpy()[:50])\n",
    "plt.plot(b_y[:50].data.numpy())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(rnn(b_x.float()).view(-1).data.numpy()[:50])\n",
    "plt.plot(b_y[:50].data.numpy())\n",
    "plt.title('Predict')\n",
    "plt.xlabel('date')\n",
    "plt.ylabel('price')\n",
    "plt.savefig('rnn.png')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}
